Background: Ionizing radiation is a potent mutagenic agent capable of inducing both mutation and chromosomal aberrations. Non-lethal doses of ionizing radiation may induce genomic instability favoring carcinogenesis. In spite of their mutagenic potential, this kind of radiation is an important tool for diagnosis of the disease and is used in medical and dental practice. It has been believed that the number of micronucleus and increased frequency of other nuclear alterations, including karyorrhexis, condensed chromatin and pyknosis, are related to the increasing effects of carcinogens. Many approaches and techniques have been developed for the monitoring of human populations exposed to various mutagens, but the analysis of micronuclei (MN) has become a standard approach for the assessment of chromosomal damage in human populations.
Aim: To assess the effects of radiation exposure from panoramic radiography on the buccal epithelial cells (BECs) of pediatric patients.
Materials And Methods: The study included 20 pediatric patients who had to undergo panoramic radiography for further dental treatment. Exfoliated BECs were obtained and examined immediately before and 10 days after radiation exposure. The cells were stained using rapid Papanicolaou (PAP) kit. Evaluation for MN and nuclear alterations was carried out by an oral pathologist and data were statistically analyzed using the "t" test.
Results: The mean number of MN in the BECs before exposure of pediatric patients to panoramic radiography was 4.25 and after exposure was 4.40. This difference was not found to be statistically significant (P < 0.0001). However, the mean nuclear alterations of 8.70 and 15.75 before and after exposure were statistically significant (P < 0.0001).
Conclusion: Panoramic radiographs can induce cytotoxicity but not genotoxic effects in buccal mucosal cells. Hence, dental radiographs should be prescribed only when deemed indispensable.
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http://dx.doi.org/10.4103/0970-9371.160559 | DOI Listing |
J Oral Biol Craniofac Res
December 2024
Division of Oral Radiology, School of Dentistry, Federal University of Ceará, Fortaleza, Ceará, Brazil.
Purpose: This study aimed to assess the styloid process (TBSP) phenotype and to identify suggestive images of calcified atheromatous plaques (CAP) in panoramic radiographs of patients with primary hyperparathyroidism (PHPT) and post-surgical hypoparathyroidism (hypoPT). Additionally, it aimed to analyze the association between the bone mineral status of patients with parathyroid diseases and the radiographic findings.
Material And Methods: A cross-sectional case-control study was conducted with individuals diagnosed with PHPT (n = 25) and post-surgical hypoPT (n = 25).
BMC Oral Health
January 2025
Pediatric Dentistry Department, Faculty of Dentistry, Başkent University, 06490, Ankara, Turkey.
Background: Hypodontia is the absence of one or more teeth in the primary or permanent dentition during development, and radiographic imaging is the most common method of diagnosis. However, in recent years, artificial intelligence-based decision support systems have been employed to make highly accurate diagnoses. The aim of this study was to classify single premolar agenesis, multiple premolar agenesis, and without tooth agenesis using various artificial intelligence approaches.
View Article and Find Full Text PDFOral Radiol
January 2025
Department of Software Engineering, Faculty of Engineering, Muğla Sıtkı Koçman University, Muğla, 4800, Turkey.
Objectives: Pulp stones are ectopic calcifications located in pulp tissue. The aim of this study is to introduce a novel method for detecting pulp stones on panoramic radiography images using a deep learning-based two-stage pipeline architecture.
Materials And Methods: The first stage involved tooth localization with the YOLOv8 model, followed by pulp stone classification using ResNeXt.
Sci Rep
January 2025
Department of Orofacial Pain and Oral Medicine, Yonsei University College of Dentistry, 50-1, Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
This study aimed to develop an artificial intelligence (AI) model for the screening of degenerative joint disease (DJD) using temporomandibular joint (TMJ) panoramic radiography and joint noise data. A total of 2631 TMJ panoramic images were collected, resulting in a final dataset of 3908 images (2127 normal (N) and 1781 DJD (D)) after excluding indeterminate cases and errors. AI models using GoogleNet were evaluated with six different combinations of image data, clinician-detected crepitus, and patient-reported joint noise.
View Article and Find Full Text PDFOrthod Craniofac Res
January 2025
Oral and Maxillofacial Pathology and Oral Medicine, Faculty of Dentistry, University of Toronto, Toronto, Ontario, Canada.
Objectives: Radiographs are routinely acquired for orthodontic evaluation, and incidental findings (IFs) may be detected early as part of this routine care. This study aimed to assess the prevalence of IFs on panoramic radiographs taken for orthodontic assessment and evaluate the ability of orthodontists to detect, interpret and recommend management for IFs.
Materials And Methods: A retrospective analysis of 1756 patients aged 7-21 with a panoramic image taken for orthodontic evaluation was performed.
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